Senior Data Engineer

1. About Our Client:

The organization operates in the crop protection and sustainable agriculture industry, addressing global food security challenges. It provides innovative technologies that protect crops from environmental and biological threats while optimizing yield and reducing environmental impact. The company integrates advanced science and digital solutions to develop intelligent crop protection methods, supporting farmers worldwide.

2. About the Opportunity:

The Senior Data Engineer will support and enhance the analytical data infrastructure, enabling access to large, complex datasets including genomic, phenotypic, environmental, image, and geospatial data. This role involves collaborating with business stakeholders to align technical strategies with strategic goals and working alongside DevOps teams to build and maintain high-performance, real-time data pipelines, primarily using AWS technologies. The position is critical for embedding data quality monitoring, advancing automation, and integrating advanced analytics to support machine learning and statistical analysis. This role is fully remote.

3. Responsibilities:

• Support analytical data infrastructure for complex datasets

• Collaborate with business stakeholders to develop technical strategies

• Interface with DevOps to extract, load, and transform data using big data technologies

• Deploy high-value, high-performance datasets

• Create and maintain real-time data pipelines on AWS

• Embed data quality monitoring and intelligent reporting with anomaly detection

• Research and implement new big data and visualization technologies

• Collaborate with data scientists and technical teams to integrate advanced analytics into pipelines

• Improve automation and simplify data-as-a-service offerings

4. Requirements:

• Bachelor’s degree in Engineering, Computer Science, or related field

• Minimum five years of experience as a Data Engineer, Software Engineer, Technology Analyst, or related role

• Five years of experience with:

• Implementing end-to-end data solutions with data models, pipelines, and business intelligence

• Designing DW architectures, OLAP technologies, and schema design (Star, Snowflake)

• Building BI and big data reporting solutions using Tableau, OBIEE, Looker, or PowerBI

• Architecting database systems using Oracle, SQL Server, Postgres, Spark, or Hadoop

• Working with data structures, algorithms, and programming/scripting languages such as Shell, Python, Scala, or PySpark

• Three years of experience with:

• Designing real-time analytics platforms with sub-minute latencies using Kafka, Spark, AWS, or GCP

• Using Datadog for data quality monitoring and alert setup

• Building self-service BI capabilities and CI/CD frameworks with Buildkite, Jenkins, or Gitlab

• Collaborating with Data Scientists on data products for machine learning, clustering, prediction, and statistics

• Building ETL pipelines with big data technologies including BigQuery, Redshift, BigTable, Aerospike, Dataproc, or EMR

• Must pass background check and drug test prior to employment

5. Pay Range and Compensation Package:

• The pay range and compensation package for this role will be determined based on the candidate’s experience, skills, and other relevant factors.

6. Benefits & Perks:

• Flexible work options to support work-life balance

• Full medical, dental, and vision benefits starting on day one

• 401k plan with company match, profit sharing, and retirement savings contributions

• Paid vacation, nine paid holidays, maternity and paternity leave

• Education assistance, wellness programs, and corporate discounts

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.